411599 2 Joaquin Vanschoren 4417 Supervised Classification predictive_accuracy 1186 weka.Dagging_DecisionStump(3) 2037 weka.classifiers.meta.Dagging -- -F 10 -S 1 -W weka.classifiers.trees.DecisionStump F 10 1186 S 1 1186 W weka.classifiers.trees.DecisionStump 1186 weka weka_3.7.12 847 wind https://www.openml.org/data/download/53381/wind.arff -1 1433908 description https://api.openml.org/data/download/1433908/weka_generated_run6493320243892923571.xml -1 1433911 model_readable https://api.openml.org/data/download/1433911/WekaModel_weka.classifiers.meta.Dagging5972033664033775165.model -1 1433910 model_serialized https://api.openml.org/data/download/1433910/WekaSerialized_weka.classifiers.meta.Dagging8175415683263088210.model -1 1433909 predictions https://api.openml.org/data/download/1433909/weka_generated_predictions3556459061641845565.arff area_under_roc_curve 0.88592 [0.88592,0.88592] average_cost 0 f_measure 0.81999 [0.830967,0.807483] kappa 0.63845 kb_relative_information_score 29285.67651 mean_absolute_error 0.298978 mean_prior_absolute_error 0.497881 number_of_instances 65740 [35010,30730] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.819991 [0.831086,0.807352] predictive_accuracy 0.819988 prior_entropy 0.996942 recall 0.819988 [0.830848,0.807615] relative_absolute_error 0.6005 root_mean_prior_squared_error 0.498939 root_mean_squared_error 0.365896 root_relative_squared_error 0.733348 scimark_benchmark 933.091786 [561.029481566851, 1002.3172918916703, 430.5300088475373, 906.4453790826606, 1765.136766288487] total_cost 0 usercpu_time_millis 30 usercpu_time_millis_testing 0 usercpu_time_millis_training 30 area_under_roc_curve 0.879122 [0.879122,0.879122] area_under_roc_curve 0.863558 [0.863558,0.863558] area_under_roc_curve 0.900624 [0.900624,0.900624] area_under_roc_curve 0.901424 [0.901424,0.901424] area_under_roc_curve 0.888276 [0.888276,0.888276] area_under_roc_curve 0.898318 [0.898318,0.898318] area_under_roc_curve 0.890979 [0.890979,0.890979] area_under_roc_curve 0.896489 [0.896489,0.896489] area_under_roc_curve 0.891074 [0.891074,0.891074] area_under_roc_curve 0.885984 [0.885984,0.885984] area_under_roc_curve 0.872245 [0.872245,0.872245] area_under_roc_curve 0.879865 [0.879865,0.879865] area_under_roc_curve 0.887681 [0.887681,0.887681] area_under_roc_curve 0.873191 [0.873191,0.873191] area_under_roc_curve 0.909573 [0.909573,0.909573] area_under_roc_curve 0.870009 [0.870009,0.870009] area_under_roc_curve 0.892922 [0.892922,0.892922] area_under_roc_curve 0.873233 [0.873233,0.873233] area_under_roc_curve 0.884341 [0.884341,0.884341] area_under_roc_curve 0.910023 [0.910023,0.910023] area_under_roc_curve 0.917769 [0.917769,0.917769] area_under_roc_curve 0.890028 [0.890028,0.890028] area_under_roc_curve 0.876424 [0.876424,0.876424] area_under_roc_curve 0.892565 [0.892565,0.892565] area_under_roc_curve 0.891892 [0.891892,0.891892] area_under_roc_curve 0.893701 [0.893701,0.893701] area_under_roc_curve 0.899726 [0.899726,0.899726] area_under_roc_curve 0.903057 [0.903057,0.903057] area_under_roc_curve 0.898956 [0.898956,0.898956] area_under_roc_curve 0.871095 [0.871095,0.871095] area_under_roc_curve 0.897936 [0.897936,0.897936] area_under_roc_curve 0.891775 [0.891775,0.891775] area_under_roc_curve 0.881025 [0.881025,0.881025] area_under_roc_curve 0.88984 [0.88984,0.88984] area_under_roc_curve 0.887681 [0.887681,0.887681] area_under_roc_curve 0.876823 [0.876823,0.876823] area_under_roc_curve 0.891395 [0.891395,0.891395] area_under_roc_curve 0.888692 [0.888692,0.888692] area_under_roc_curve 0.897537 [0.897537,0.897537] area_under_roc_curve 0.878006 [0.878006,0.878006] area_under_roc_curve 0.875849 [0.875849,0.875849] area_under_roc_curve 0.849944 [0.849944,0.849944] area_under_roc_curve 0.883322 [0.883322,0.883322] area_under_roc_curve 0.860549 [0.860549,0.860549] area_under_roc_curve 0.87644 [0.87644,0.87644] area_under_roc_curve 0.876342 [0.876342,0.876342] area_under_roc_curve 0.878855 [0.878855,0.878855] area_under_roc_curve 0.878069 [0.878069,0.878069] area_under_roc_curve 0.87409 [0.87409,0.87409] area_under_roc_curve 0.882396 [0.882396,0.882396] area_under_roc_curve 0.867515 [0.867515,0.867515] area_under_roc_curve 0.903718 [0.903718,0.903718] area_under_roc_curve 0.900535 [0.900535,0.900535] area_under_roc_curve 0.902364 [0.902364,0.902364] area_under_roc_curve 0.879698 [0.879698,0.879698] area_under_roc_curve 0.879437 [0.879437,0.879437] area_under_roc_curve 0.843681 [0.843681,0.843681] area_under_roc_curve 0.89255 [0.89255,0.89255] area_under_roc_curve 0.882536 [0.882536,0.882536] area_under_roc_curve 0.901131 [0.901131,0.901131] area_under_roc_curve 0.897497 [0.897497,0.897497] area_under_roc_curve 0.89684 [0.89684,0.89684] area_under_roc_curve 0.892117 [0.892117,0.892117] area_under_roc_curve 0.887059 [0.887059,0.887059] area_under_roc_curve 0.905514 [0.905514,0.905514] area_under_roc_curve 0.855351 [0.855351,0.855351] area_under_roc_curve 0.887073 [0.887073,0.887073] area_under_roc_curve 0.89624 [0.89624,0.89624] area_under_roc_curve 0.879902 [0.879902,0.879902] area_under_roc_curve 0.881159 [0.881159,0.881159] area_under_roc_curve 0.873727 [0.873727,0.873727] area_under_roc_curve 0.859725 [0.859725,0.859725] area_under_roc_curve 0.876533 [0.876533,0.876533] area_under_roc_curve 0.885058 [0.885058,0.885058] area_under_roc_curve 0.876063 [0.876063,0.876063] area_under_roc_curve 0.902057 [0.902057,0.902057] area_under_roc_curve 0.861531 [0.861531,0.861531] area_under_roc_curve 0.880731 [0.880731,0.880731] area_under_roc_curve 0.878776 [0.878776,0.878776] area_under_roc_curve 0.901038 [0.901038,0.901038] area_under_roc_curve 0.885826 [0.885826,0.885826] area_under_roc_curve 0.892206 [0.892206,0.892206] area_under_roc_curve 0.912592 [0.912592,0.912592] area_under_roc_curve 0.883304 [0.883304,0.883304] area_under_roc_curve 0.87926 [0.87926,0.87926] area_under_roc_curve 0.882583 [0.882583,0.882583] area_under_roc_curve 0.873439 [0.873439,0.873439] area_under_roc_curve 0.829497 [0.829497,0.829497] area_under_roc_curve 0.900223 [0.900223,0.900223] area_under_roc_curve 0.87477 [0.87477,0.87477] area_under_roc_curve 0.855147 [0.855147,0.855147] area_under_roc_curve 0.899428 [0.899428,0.899428] area_under_roc_curve 0.869916 [0.869916,0.869916] area_under_roc_curve 0.880856 [0.880856,0.880856] area_under_roc_curve 0.867846 [0.867846,0.867846] area_under_roc_curve 0.894663 [0.894663,0.894663] area_under_roc_curve 0.900907 [0.900907,0.900907] area_under_roc_curve 0.880033 [0.880033,0.880033] area_under_roc_curve 0.881824 [0.881824,0.881824] area_under_roc_curve 0.885482 [0.885482,0.885482] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.814795 [0.820059,0.808777] f_measure 0.808222 [0.823034,0.791391] f_measure 0.828818 [0.847411,0.80756] f_measure 0.828365 [0.836941,0.81862] f_measure 0.81162 [0.82235,0.799353] f_measure 0.849684 [0.856313,0.842105] f_measure 0.840535 [0.848046,0.832] f_measure 0.809922 [0.823197,0.794745] f_measure 0.81479 [0.819527,0.809375] f_measure 0.819301 [0.822123,0.816074] f_measure 0.817815 [0.823009,0.811912] f_measure 0.829872 [0.838617,0.819936] f_measure 0.820782 [0.82948,0.810897] f_measure 0.825133 [0.836879,0.811784] f_measure 0.852647 [0.860432,0.8438] f_measure 0.811742 [0.817109,0.805643] f_measure 0.831127 [0.843441,0.817133] f_measure 0.808578 [0.818966,0.796774] f_measure 0.829941 [0.833333,0.826087] f_measure 0.843532 [0.851799,0.834138] f_measure 0.851213 [0.85503,0.846875] f_measure 0.81451 [0.826705,0.800654] f_measure 0.812418 [0.829876,0.79258] f_measure 0.81568 [0.831241,0.797997] f_measure 0.82678 [0.836676,0.815534] f_measure 0.829787 [0.84,0.818182] f_measure 0.828174 [0.839716,0.815057] f_measure 0.832932 [0.84104,0.823718] f_measure 0.83526 [0.850829,0.817568] f_measure 0.801049 [0.81042,0.7904] f_measure 0.829942 [0.836735,0.822222] f_measure 0.822354 [0.830189,0.813397] f_measure 0.801115 [0.807069,0.794349] f_measure 0.817629 [0.82906,0.80456] f_measure 0.820398 [0.83427,0.804636] f_measure 0.814417 [0.827684,0.799342] f_measure 0.831355 [0.841202,0.820097] f_measure 0.831353 [0.840746,0.820679] f_measure 0.819131 [0.830243,0.806504] f_measure 0.820758 [0.822289,0.819018] f_measure 0.800822 [0.806499,0.794349] f_measure 0.781051 [0.788856,0.772152] f_measure 0.822108 [0.827179,0.816327] f_measure 0.781571 [0.802213,0.758037] f_measure 0.813898 [0.829609,0.795987] f_measure 0.818071 [0.836314,0.797274] f_measure 0.802286 [0.824966,0.77643] f_measure 0.825105 [0.833091,0.816] f_measure 0.808256 [0.819484,0.795455] f_measure 0.81577 [0.827881,0.801964] f_measure 0.805324 [0.814493,0.794872] f_measure 0.838806 [0.841791,0.835404] f_measure 0.83855 [0.849858,0.825658] f_measure 0.841509 [0.853521,0.827815] f_measure 0.813686 [0.831025,0.793919] f_measure 0.826039 [0.841226,0.808725] f_measure 0.782322 [0.796006,0.766721] f_measure 0.849462 [0.855474,0.842607] f_measure 0.827465 [0.843273,0.809444] f_measure 0.824819 [0.837341,0.810544] f_measure 0.837122 [0.847361,0.825449] f_measure 0.818375 [0.834492,0.8] f_measure 0.829211 [0.843137,0.813333] f_measure 0.821935 [0.832618,0.809756] f_measure 0.816323 [0.836066,0.793814] f_measure 0.804745 [0.821229,0.785953] f_measure 0.815848 [0.826896,0.803252] f_measure 0.834168 [0.843165,0.82391] f_measure 0.818304 [0.834951,0.799325] f_measure 0.804601 [0.822222,0.784512] f_measure 0.812339 [0.828452,0.79397] f_measure 0.806635 [0.819346,0.792144] f_measure 0.796261 [0.80236,0.789308] f_measure 0.808344 [0.817919,0.797428] f_measure 0.810707 [0.827778,0.791246] f_measure 0.835648 [0.845272,0.824675] f_measure 0.809478 [0.824191,0.792703] f_measure 0.829659 [0.837681,0.820513] f_measure 0.810707 [0.827778,0.791246] f_measure 0.839743 [0.853964,0.823529] f_measure 0.834168 [0.843165,0.82391] f_measure 0.823624 [0.829912,0.816456] f_measure 0.847952 [0.853372,0.841772] f_measure 0.82959 [0.83908,0.81877] f_measure 0.812526 [0.827004,0.79602] f_measure 0.81707 [0.831461,0.800664] f_measure 0.803543 [0.817021,0.788177] f_measure 0.768892 [0.776471,0.760252] f_measure 0.83045 [0.846473,0.812183] f_measure 0.817509 [0.825581,0.808307] f_measure 0.794721 [0.80292,0.785374] f_measure 0.850806 [0.860399,0.839869] f_measure 0.811181 [0.823864,0.796721] f_measure 0.814226 [0.826705,0.8] f_measure 0.814501 [0.821114,0.806962] f_measure 0.823575 [0.831884,0.814103] f_measure 0.830223 [0.847737,0.810256] f_measure 0.815811 [0.827389,0.80261] f_measure 0.808344 [0.817919,0.797428] f_measure 0.808289 [0.818966,0.796117] kappa 0.62933 kappa 0.614554 kappa 0.655797 kappa 0.6556 kappa 0.621716 kappa 0.698537 kappa 0.680106 kappa 0.617964 kappa 0.629481 kappa 0.639105 kappa 0.635329 kappa 0.658581 kappa 0.64043 kappa 0.648684 kappa 0.704249 kappa 0.623173 kappa 0.660639 kappa 0.615754 kappa 0.660036 kappa 0.685955 kappa 0.702301 kappa 0.627372 kappa 0.622921 kappa 0.629487 kappa 0.652213 kappa 0.658182 kappa 0.654794 kappa 0.664808 kappa 0.668841 kappa 0.600895 kappa 0.659112 kappa 0.643725 kappa 0.601824 kappa 0.63362 kappa 0.639026 kappa 0.627081 kappa 0.661306 kappa 0.661432 kappa 0.636747 kappa 0.642378 kappa 0.601337 kappa 0.561338 kappa 0.643942 kappa 0.560794 kappa 0.625819 kappa 0.634213 kappa 0.602675 kappa 0.64919 kappa 0.614942 kappa 0.629852 kappa 0.609455 kappa 0.677867 kappa 0.675543 kappa 0.68141 kappa 0.625368 kappa 0.650215 kappa 0.562728 kappa 0.698239 kappa 0.653075 kappa 0.647925 kappa 0.67281 kappa 0.634801 kappa 0.656628 kappa 0.642375 kappa 0.630768 kappa 0.607417 kappa 0.630148 kappa 0.667094 kappa 0.634654 kappa 0.607101 kappa 0.622676 kappa 0.611498 kappa 0.592126 kappa 0.615404 kappa 0.61938 kappa 0.669951 kappa 0.617003 kappa 0.658273 kappa 0.61938 kappa 0.677765 kappa 0.667094 kappa 0.646633 kappa 0.695374 kappa 0.657863 kappa 0.62313 kappa 0.632249 kappa 0.605222 kappa 0.537152 kappa 0.659078 kappa 0.63401 kappa 0.588508 kappa 0.700271 kappa 0.620599 kappa 0.626718 kappa 0.628356 kappa 0.646069 kappa 0.658666 kappa 0.63 kappa 0.615404 kappa 0.615096 kb_relative_information_score 297.874582 kb_relative_information_score 281.175821 kb_relative_information_score 311.092999 kb_relative_information_score 295.147307 kb_relative_information_score 288.978128 kb_relative_information_score 321.076 kb_relative_information_score 311.785498 kb_relative_information_score 294.461492 kb_relative_information_score 293.131368 kb_relative_information_score 295.800777 kb_relative_information_score 288.775054 kb_relative_information_score 298.797182 kb_relative_information_score 282.184081 kb_relative_information_score 296.705367 kb_relative_information_score 317.488384 kb_relative_information_score 291.5958 kb_relative_information_score 297.330755 kb_relative_information_score 278.253835 kb_relative_information_score 306.214315 kb_relative_information_score 316.251732 kb_relative_information_score 317.142629 kb_relative_information_score 291.623181 kb_relative_information_score 289.829842 kb_relative_information_score 302.88886 kb_relative_information_score 295.750371 kb_relative_information_score 293.885335 kb_relative_information_score 303.435894 kb_relative_information_score 305.467076 kb_relative_information_score 309.316603 kb_relative_information_score 286.28705 kb_relative_information_score 292.713287 kb_relative_information_score 292.994631 kb_relative_information_score 281.280552 kb_relative_information_score 290.84906 kb_relative_information_score 293.835425 kb_relative_information_score 280.548389 kb_relative_information_score 290.992829 kb_relative_information_score 303.378207 kb_relative_information_score 302.165362 kb_relative_information_score 288.060231 kb_relative_information_score 284.761331 kb_relative_information_score 275.148008 kb_relative_information_score 292.783732 kb_relative_information_score 265.984224 kb_relative_information_score 282.972338 kb_relative_information_score 289.60505 kb_relative_information_score 287.652557 kb_relative_information_score 290.010957 kb_relative_information_score 288.259626 kb_relative_information_score 291.494034 kb_relative_information_score 286.229192 kb_relative_information_score 306.608728 kb_relative_information_score 304.370343 kb_relative_information_score 302.156132 kb_relative_information_score 293.113491 kb_relative_information_score 292.954842 kb_relative_information_score 267.255798 kb_relative_information_score 302.53975 kb_relative_information_score 293.419502 kb_relative_information_score 291.718835 kb_relative_information_score 308.146649 kb_relative_information_score 295.724125 kb_relative_information_score 303.569494 kb_relative_information_score 294.660667 kb_relative_information_score 299.194885 kb_relative_information_score 281.088666 kb_relative_information_score 296.363581 kb_relative_information_score 309.7177 kb_relative_information_score 288.299784 kb_relative_information_score 269.207897 kb_relative_information_score 286.179796 kb_relative_information_score 275.014918 kb_relative_information_score 271.621663 kb_relative_information_score 289.399524 kb_relative_information_score 285.869777 kb_relative_information_score 304.653063 kb_relative_information_score 289.124747 kb_relative_information_score 299.146887 kb_relative_information_score 281.693155 kb_relative_information_score 300.594974 kb_relative_information_score 304.641282 kb_relative_information_score 292.888453 kb_relative_information_score 312.14981 kb_relative_information_score 300.12106 kb_relative_information_score 290.687962 kb_relative_information_score 283.110801 kb_relative_information_score 293.288545 kb_relative_information_score 257.295483 kb_relative_information_score 290.320989 kb_relative_information_score 292.774449 kb_relative_information_score 267.524328 kb_relative_information_score 308.63317 kb_relative_information_score 275.155652 kb_relative_information_score 284.579294 kb_relative_information_score 290.693366 kb_relative_information_score 288.761529 kb_relative_information_score 299.861075 kb_relative_information_score 289.748281 kb_relative_information_score 287.170268 kb_relative_information_score 281.395 mean_absolute_error 0.294921 mean_absolute_error 0.30679 mean_absolute_error 0.286702 mean_absolute_error 0.297821 mean_absolute_error 0.301753 mean_absolute_error 0.280243 mean_absolute_error 0.286178 mean_absolute_error 0.297133 mean_absolute_error 0.298562 mean_absolute_error 0.296575 mean_absolute_error 0.302363 mean_absolute_error 0.295255 mean_absolute_error 0.307261 mean_absolute_error 0.295424 mean_absolute_error 0.283477 mean_absolute_error 0.299667 mean_absolute_error 0.296906 mean_absolute_error 0.308943 mean_absolute_error 0.290031 mean_absolute_error 0.283464 mean_absolute_error 0.283625 mean_absolute_error 0.299832 mean_absolute_error 0.301096 mean_absolute_error 0.291585 mean_absolute_error 0.297183 mean_absolute_error 0.299169 mean_absolute_error 0.292519 mean_absolute_error 0.290446 mean_absolute_error 0.287583 mean_absolute_error 0.302806 mean_absolute_error 0.299294 mean_absolute_error 0.299367 mean_absolute_error 0.306627 mean_absolute_error 0.300699 mean_absolute_error 0.299182 mean_absolute_error 0.308236 mean_absolute_error 0.301103 mean_absolute_error 0.292552 mean_absolute_error 0.292119 mean_absolute_error 0.302672 mean_absolute_error 0.303323 mean_absolute_error 0.309044 mean_absolute_error 0.298613 mean_absolute_error 0.316656 mean_absolute_error 0.30597 mean_absolute_error 0.300938 mean_absolute_error 0.301767 mean_absolute_error 0.301302 mean_absolute_error 0.301401 mean_absolute_error 0.299382 mean_absolute_error 0.302573 mean_absolute_error 0.289606 mean_absolute_error 0.292719 mean_absolute_error 0.29324 mean_absolute_error 0.298349 mean_absolute_error 0.298827 mean_absolute_error 0.315275 mean_absolute_error 0.293045 mean_absolute_error 0.298783 mean_absolute_error 0.300187 mean_absolute_error 0.2884 mean_absolute_error 0.296822 mean_absolute_error 0.291532 mean_absolute_error 0.297623 mean_absolute_error 0.295075 mean_absolute_error 0.306431 mean_absolute_error 0.295697 mean_absolute_error 0.287601 mean_absolute_error 0.302304 mean_absolute_error 0.315253 mean_absolute_error 0.303477 mean_absolute_error 0.31073 mean_absolute_error 0.312791 mean_absolute_error 0.300768 mean_absolute_error 0.303491 mean_absolute_error 0.290833 mean_absolute_error 0.300935 mean_absolute_error 0.29516 mean_absolute_error 0.306343 mean_absolute_error 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mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 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mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] precision 0.817168 [0.850153,0.779456] precision 0.808475 [0.809392,0.807432] precision 0.831856 [0.81201,0.854545] precision 0.82865 [0.845481,0.809524] precision 0.81175 [0.827089,0.794212] precision 0.850488 [0.872781,0.825] precision 0.84096 [0.859238,0.820189] precision 0.809908 [0.817416,0.801325] precision 0.817535 [0.852308,0.777778] precision 0.823578 [0.86478,0.776471] precision 0.819828 [0.85061,0.784848] precision 0.830096 [0.84593,0.812102] precision 0.821137 [0.839181,0.800633] precision 0.825133 [0.830986,0.818482] precision 0.852809 [0.866667,0.837061] precision 0.813748 [0.844512,0.778788] precision 0.83126 [0.832869,0.829431] precision 0.808705 [0.823699,0.791667] precision 0.833102 [0.869565,0.791667] precision 0.843697 [0.857971,0.827476] precision 0.853626 [0.886503,0.816265] precision 0.814492 [0.822034,0.805921] precision 0.813778 [0.80429,0.824561] precision 0.81635 [0.811989,0.821306] precision 0.826827 [0.83908,0.812903] precision 0.829787 [0.84,0.818182] precision 0.828176 [0.833803,0.821782] precision 0.833284 [0.850877,0.813291] precision 0.836909 [0.823529,0.852113] precision 0.801485 [0.821114,0.77918] precision 0.830847 [0.854167,0.804348] precision 0.823162 [0.846154,0.796875] precision 0.802949 [0.832827,0.768997] precision 0.817629 [0.82906,0.80456] precision 0.820678 [0.820442,0.820946] precision 0.814487 [0.818436,0.81] precision 0.831438 [0.844828,0.816129] precision 0.831433 [0.84438,0.81672] precision 0.819117 [0.82906,0.807818] precision 0.825771 [0.869427,0.776163] precision 0.802996 [0.834862,0.766667] precision 0.782451 [0.810241,0.750769] precision 0.824312 [0.856269,0.787879] precision 0.782738 [0.77748,0.788732] precision 0.814463 [0.811475,0.817869] precision 0.82008 [0.806366,0.835714] precision 0.806137 [0.78553,0.82963] precision 0.825711 [0.846608,0.801887] precision 0.808307 [0.821839,0.79288] precision 0.815745 [0.824363,0.805921] precision 0.805847 [0.826471,0.782334] precision 0.842452 [0.88125,0.79822] precision 0.83858 [0.842697,0.833887] precision 0.841706 [0.841667,0.841751] precision 0.814914 [0.806452,0.824561] precision 0.826847 [0.820652,0.83391] precision 0.782303 [0.794872,0.767974] precision 0.850494 [0.874627,0.822981] precision 0.828637 [0.819407,0.839161] precision 0.824865 [0.829132,0.82] precision 0.837109 [0.846154,0.826797] precision 0.819261 [0.813008,0.826389] precision 0.829653 [0.826923,0.832765] precision 0.821956 [0.833811,0.808442] precision 0.819249 [0.801047,0.84] precision 0.805279 [0.803279,0.80756] precision 0.815869 [0.82808,0.801948] precision 0.834338 [0.849275,0.817308] precision 0.819428 [0.811321,0.828671] precision 0.805536 [0.8,0.811847] precision 0.812992 [0.809264,0.817241] precision 0.806607 [0.815864,0.796053] precision 0.798264 [0.829268,0.762918] precision 0.808708 [0.827485,0.787302] precision 0.811672 [0.805405,0.818815] precision 0.835695 [0.847701,0.822006] precision 0.809671 [0.811634,0.807432] precision 0.830174 [0.85,0.807571] precision 0.811672 [0.805405,0.818815] precision 0.840724 [0.831978,0.850694] precision 0.834338 [0.849275,0.817308] precision 0.825044 [0.85241,0.793846] precision 0.849383 [0.876506,0.818462] precision 0.829713 [0.843931,0.813505] precision 0.812725 [0.814404,0.810811] precision 0.817338 [0.81768,0.816949] precision 0.803527 [0.811268,0.794702] precision 0.770563 [0.8,0.737003] precision 0.831915 [0.820375,0.84507] precision 0.818212 [0.840237,0.793103] precision 0.795749 [0.820896,0.767081] precision 0.85079 [0.857955,0.842623] precision 0.811158 [0.819209,0.80198] precision 0.814205 [0.822034,0.805281] precision 0.815917 [0.843373,0.784615] precision 0.824092 [0.844118,0.801262] precision 0.832693 [0.815303,0.852518] precision 0.815796 [0.826211,0.803922] precision 0.808708 [0.827485,0.787302] precision 0.808418 [0.823699,0.790997] predictive_accuracy 0.81459 predictive_accuracy 0.808511 predictive_accuracy 0.829787 predictive_accuracy 0.828267 predictive_accuracy 0.81155 predictive_accuracy 0.849544 predictive_accuracy 0.840426 predictive_accuracy 0.81003 predictive_accuracy 0.81459 predictive_accuracy 0.819149 predictive_accuracy 0.817629 predictive_accuracy 0.829787 predictive_accuracy 0.820669 predictive_accuracy 0.825228 predictive_accuracy 0.852584 predictive_accuracy 0.81155 predictive_accuracy 0.831307 predictive_accuracy 0.808511 predictive_accuracy 0.829787 predictive_accuracy 0.843465 predictive_accuracy 0.851064 predictive_accuracy 0.81459 predictive_accuracy 0.81307 predictive_accuracy 0.816109 predictive_accuracy 0.826748 predictive_accuracy 0.829787 predictive_accuracy 0.828267 predictive_accuracy 0.832827 predictive_accuracy 0.835866 predictive_accuracy 0.800912 predictive_accuracy 0.829787 predictive_accuracy 0.822188 predictive_accuracy 0.800912 predictive_accuracy 0.817629 predictive_accuracy 0.820669 predictive_accuracy 0.81459 predictive_accuracy 0.831307 predictive_accuracy 0.831307 predictive_accuracy 0.819149 predictive_accuracy 0.820669 predictive_accuracy 0.800609 predictive_accuracy 0.780822 predictive_accuracy 0.821918 predictive_accuracy 0.782344 predictive_accuracy 0.814307 predictive_accuracy 0.818874 predictive_accuracy 0.803653 predictive_accuracy 0.824962 predictive_accuracy 0.808219 predictive_accuracy 0.81583 predictive_accuracy 0.805175 predictive_accuracy 0.838661 predictive_accuracy 0.838661 predictive_accuracy 0.841705 predictive_accuracy 0.814307 predictive_accuracy 0.826484 predictive_accuracy 0.782344 predictive_accuracy 0.849315 predictive_accuracy 0.828006 predictive_accuracy 0.824962 predictive_accuracy 0.837139 predictive_accuracy 0.818874 predictive_accuracy 0.829528 predictive_accuracy 0.821918 predictive_accuracy 0.817352 predictive_accuracy 0.805175 predictive_accuracy 0.81583 predictive_accuracy 0.834094 predictive_accuracy 0.818874 predictive_accuracy 0.805175 predictive_accuracy 0.812785 predictive_accuracy 0.806697 predictive_accuracy 0.796043 predictive_accuracy 0.808219 predictive_accuracy 0.811263 predictive_accuracy 0.835616 predictive_accuracy 0.809741 predictive_accuracy 0.829528 predictive_accuracy 0.811263 predictive_accuracy 0.840183 predictive_accuracy 0.834094 predictive_accuracy 0.82344 predictive_accuracy 0.847793 predictive_accuracy 0.829528 predictive_accuracy 0.812785 predictive_accuracy 0.817352 predictive_accuracy 0.803653 predictive_accuracy 0.768645 predictive_accuracy 0.83105 predictive_accuracy 0.817352 predictive_accuracy 0.794521 predictive_accuracy 0.850837 predictive_accuracy 0.811263 predictive_accuracy 0.814307 predictive_accuracy 0.814307 predictive_accuracy 0.82344 predictive_accuracy 0.83105 predictive_accuracy 0.81583 predictive_accuracy 0.808219 predictive_accuracy 0.808219 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 recall 0.81459 [0.792023,0.840391] recall 0.808511 [0.837143,0.775974] recall 0.829787 [0.88604,0.765472] recall 0.828267 [0.828571,0.827922] recall 0.81155 [0.817664,0.80456] recall 0.849544 [0.840456,0.859935] recall 0.840426 [0.837143,0.844156] recall 0.81003 [0.82906,0.788274] recall 0.81459 [0.789174,0.843648] recall 0.819149 [0.783476,0.859935] recall 0.817629 [0.797143,0.840909] recall 0.829787 [0.831429,0.827922] recall 0.820669 [0.82,0.821429] recall 0.825228 [0.842857,0.805195] recall 0.852584 [0.854286,0.850649] recall 0.81155 [0.791429,0.834416] recall 0.831307 [0.854286,0.805195] recall 0.808511 [0.814286,0.801948] recall 0.829787 [0.8,0.863636] recall 0.843465 [0.845714,0.840909] recall 0.851064 [0.825714,0.87987] recall 0.81459 [0.831429,0.795455] recall 0.81307 [0.857143,0.762987] recall 0.816109 [0.851429,0.775974] recall 0.826748 [0.834286,0.818182] recall 0.829787 [0.84,0.818182] recall 0.828267 [0.845714,0.808442] recall 0.832827 [0.831429,0.834416] recall 0.835866 [0.88,0.785714] recall 0.800912 [0.8,0.801948] recall 0.829787 [0.82,0.840909] recall 0.822188 [0.814815,0.830619] recall 0.800912 [0.782857,0.821429] recall 0.817629 [0.82906,0.80456] recall 0.820669 [0.848571,0.788961] recall 0.81459 [0.837143,0.788961] recall 0.831307 [0.837607,0.824104] recall 0.831307 [0.837143,0.824675] recall 0.819149 [0.831429,0.805195] recall 0.820669 [0.78,0.866883] recall 0.800609 [0.78,0.824104] recall 0.780822 [0.768571,0.794788] recall 0.821918 [0.8,0.846906] recall 0.782344 [0.828571,0.729642] recall 0.814307 [0.848571,0.775244] recall 0.818874 [0.868571,0.762215] recall 0.803653 [0.868571,0.729642] recall 0.824962 [0.82,0.830619] recall 0.808219 [0.817143,0.798046] recall 0.81583 [0.831429,0.798046] recall 0.805175 [0.802857,0.807818] recall 0.838661 [0.805714,0.876221] recall 0.838661 [0.857143,0.81759] recall 0.841705 [0.865714,0.814332] recall 0.814307 [0.857143,0.765472] recall 0.826484 [0.862857,0.785016] recall 0.782344 [0.797143,0.765472] recall 0.849315 [0.837143,0.863192] recall 0.828006 [0.868571,0.781759] recall 0.824962 [0.845714,0.801303] recall 0.837139 [0.848571,0.824104] recall 0.818874 [0.857143,0.775244] recall 0.829528 [0.86,0.794788] recall 0.821918 [0.831429,0.811075] recall 0.817352 [0.874286,0.752443] recall 0.805175 [0.84,0.765472] recall 0.81583 [0.825714,0.80456] recall 0.834094 [0.837143,0.830619] recall 0.818874 [0.86,0.771987] recall 0.805175 [0.845714,0.758958] recall 0.812785 [0.848571,0.771987] recall 0.806697 [0.822857,0.788274] recall 0.796043 [0.777143,0.81759] recall 0.808219 [0.808571,0.807818] recall 0.811263 [0.851429,0.765472] recall 0.835616 [0.842857,0.827362] recall 0.809741 [0.837143,0.778502] recall 0.829528 [0.825714,0.833876] recall 0.811263 [0.851429,0.765472] recall 0.840183 [0.877143,0.798046] recall 0.834094 [0.837143,0.830619] recall 0.82344 [0.808571,0.840391] recall 0.847793 [0.831429,0.86645] recall 0.829528 [0.834286,0.824104] recall 0.812785 [0.84,0.781759] recall 0.817352 [0.845714,0.785016] recall 0.803653 [0.822857,0.781759] recall 0.768645 [0.754286,0.785016] recall 0.83105 [0.874286,0.781759] recall 0.817352 [0.811429,0.824104] recall 0.794521 [0.785714,0.80456] recall 0.850837 [0.862857,0.837134] recall 0.811263 [0.828571,0.791531] recall 0.814307 [0.831429,0.794788] recall 0.814307 [0.8,0.830619] recall 0.82344 [0.82,0.827362] recall 0.83105 [0.882857,0.771987] recall 0.81583 [0.828571,0.801303] recall 0.808219 [0.808571,0.807818] recall 0.808219 [0.814286,0.801303] relative_absolute_error 0.59242 relative_absolute_error 0.616139 relative_absolute_error 0.57591 relative_absolute_error 0.598126 relative_absolute_error 0.606144 relative_absolute_error 0.562937 relative_absolute_error 0.574743 relative_absolute_error 0.596864 relative_absolute_error 0.599734 relative_absolute_error 0.595742 relative_absolute_error 0.607248 relative_absolute_error 0.592973 relative_absolute_error 0.617086 relative_absolute_error 0.593312 relative_absolute_error 0.569318 relative_absolute_error 0.601835 relative_absolute_error 0.59629 relative_absolute_error 0.620463 relative_absolute_error 0.582482 relative_absolute_error 0.569293 relative_absolute_error 0.569616 relative_absolute_error 0.602165 relative_absolute_error 0.604703 relative_absolute_error 0.585604 relative_absolute_error 0.596845 relative_absolute_error 0.600833 relative_absolute_error 0.587479 relative_absolute_error 0.583315 relative_absolute_error 0.577565 relative_absolute_error 0.608138 relative_absolute_error 0.601086 relative_absolute_error 0.601352 relative_absolute_error 0.615811 relative_absolute_error 0.604028 relative_absolute_error 0.600859 relative_absolute_error 0.619043 relative_absolute_error 0.604839 relative_absolute_error 0.587545 relative_absolute_error 0.586675 relative_absolute_error 0.60787 relative_absolute_error 0.609241 relative_absolute_error 0.620733 relative_absolute_error 0.59978 relative_absolute_error 0.636021 relative_absolute_error 0.614557 relative_absolute_error 0.604451 relative_absolute_error 0.606116 relative_absolute_error 0.605182 relative_absolute_error 0.60538 relative_absolute_error 0.601325 relative_absolute_error 0.607735 relative_absolute_error 0.581689 relative_absolute_error 0.587943 relative_absolute_error 0.588989 relative_absolute_error 0.59925 relative_absolute_error 0.600211 relative_absolute_error 0.633248 relative_absolute_error 0.588598 relative_absolute_error 0.600123 relative_absolute_error 0.602943 relative_absolute_error 0.579268 relative_absolute_error 0.596184 relative_absolute_error 0.585558 relative_absolute_error 0.597793 relative_absolute_error 0.592675 relative_absolute_error 0.615485 relative_absolute_error 0.593924 relative_absolute_error 0.577663 relative_absolute_error 0.607194 relative_absolute_error 0.633203 relative_absolute_error 0.609551 relative_absolute_error 0.624118 relative_absolute_error 0.628258 relative_absolute_error 0.60411 relative_absolute_error 0.609578 relative_absolute_error 0.584154 relative_absolute_error 0.604445 relative_absolute_error 0.592845 relative_absolute_error 0.615306 relative_absolute_error 0.592267 relative_absolute_error 0.58506 relative_absolute_error 0.600931 relative_absolute_error 0.576703 relative_absolute_error 0.590692 relative_absolute_error 0.602213 relative_absolute_error 0.613755 relative_absolute_error 0.596982 relative_absolute_error 0.646453 relative_absolute_error 0.606638 relative_absolute_error 0.600709 relative_absolute_error 0.634638 relative_absolute_error 0.580753 relative_absolute_error 0.625071 relative_absolute_error 0.611333 relative_absolute_error 0.602518 relative_absolute_error 0.60748 relative_absolute_error 0.591599 relative_absolute_error 0.603648 relative_absolute_error 0.606234 relative_absolute_error 0.615424 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_squared_error 0.365482 root_mean_squared_error 0.377367 root_mean_squared_error 0.351092 root_mean_squared_error 0.358353 root_mean_squared_error 0.368888 root_mean_squared_error 0.344685 root_mean_squared_error 0.352457 root_mean_squared_error 0.363635 root_mean_squared_error 0.364845 root_mean_squared_error 0.365111 root_mean_squared_error 0.370407 root_mean_squared_error 0.363514 root_mean_squared_error 0.367758 root_mean_squared_error 0.365913 root_mean_squared_error 0.340786 root_mean_squared_error 0.376702 root_mean_squared_error 0.358472 root_mean_squared_error 0.377817 root_mean_squared_error 0.357005 root_mean_squared_error 0.345189 root_mean_squared_error 0.341155 root_mean_squared_error 0.365668 root_mean_squared_error 0.368162 root_mean_squared_error 0.358563 root_mean_squared_error 0.364559 root_mean_squared_error 0.363896 root_mean_squared_error 0.354627 root_mean_squared_error 0.355608 root_mean_squared_error 0.352994 root_mean_squared_error 0.376767 root_mean_squared_error 0.361244 root_mean_squared_error 0.363605 root_mean_squared_error 0.373824 root_mean_squared_error 0.368261 root_mean_squared_error 0.363593 root_mean_squared_error 0.373646 root_mean_squared_error 0.361966 root_mean_squared_error 0.357821 root_mean_squared_error 0.358556 root_mean_squared_error 0.371466 root_mean_squared_error 0.377616 root_mean_squared_error 0.391067 root_mean_squared_error 0.365525 root_mean_squared_error 0.387904 root_mean_squared_error 0.369855 root_mean_squared_error 0.368486 root_mean_squared_error 0.369616 root_mean_squared_error 0.366952 root_mean_squared_error 0.372339 root_mean_squared_error 0.367491 root_mean_squared_error 0.378472 root_mean_squared_error 0.352121 root_mean_squared_error 0.351916 root_mean_squared_error 0.3528 root_mean_squared_error 0.366002 root_mean_squared_error 0.365117 root_mean_squared_error 0.393732 root_mean_squared_error 0.355141 root_mean_squared_error 0.365725 root_mean_squared_error 0.35958 root_mean_squared_error 0.356962 root_mean_squared_error 0.358644 root_mean_squared_error 0.359985 root_mean_squared_error 0.363106 root_mean_squared_error 0.354693 root_mean_squared_error 0.379942 root_mean_squared_error 0.365081 root_mean_squared_error 0.353215 root_mean_squared_error 0.368045 root_mean_squared_error 0.376595 root_mean_squared_error 0.37186 root_mean_squared_error 0.382928 root_mean_squared_error 0.382326 root_mean_squared_error 0.367155 root_mean_squared_error 0.37116 root_mean_squared_error 0.35475 root_mean_squared_error 0.376153 root_mean_squared_error 0.360928 root_mean_squared_error 0.372948 root_mean_squared_error 0.354919 root_mean_squared_error 0.359445 root_mean_squared_error 0.365138 root_mean_squared_error 0.342995 root_mean_squared_error 0.360583 root_mean_squared_error 0.368555 root_mean_squared_error 0.370465 root_mean_squared_error 0.37778 root_mean_squared_error 0.402822 root_mean_squared_error 0.359252 root_mean_squared_error 0.367864 root_mean_squared_error 0.388149 root_mean_squared_error 0.350111 root_mean_squared_error 0.378476 root_mean_squared_error 0.371362 root_mean_squared_error 0.372304 root_mean_squared_error 0.3626 root_mean_squared_error 0.355645 root_mean_squared_error 0.370065 root_mean_squared_error 0.372592 root_mean_squared_error 0.376503 root_relative_squared_error 0.732603 root_relative_squared_error 0.756276 root_relative_squared_error 0.703759 root_relative_squared_error 0.718169 root_relative_squared_error 0.739431 root_relative_squared_error 0.690914 root_relative_squared_error 0.706355 root_relative_squared_error 0.728901 root_relative_squared_error 0.731326 root_relative_squared_error 0.731859 root_relative_squared_error 0.742326 root_relative_squared_error 0.728513 root_relative_squared_error 0.737019 root_relative_squared_error 0.733321 root_relative_squared_error 0.682964 root_relative_squared_error 0.754942 root_relative_squared_error 0.718409 root_relative_squared_error 0.757178 root_relative_squared_error 0.715468 root_relative_squared_error 0.691787 root_relative_squared_error 0.683704 root_relative_squared_error 0.732829 root_relative_squared_error 0.737829 root_relative_squared_error 0.718591 root_relative_squared_error 0.730608 root_relative_squared_error 0.729279 root_relative_squared_error 0.710703 root_relative_squared_error 0.712669 root_relative_squared_error 0.70743 root_relative_squared_error 0.755074 root_relative_squared_error 0.723964 root_relative_squared_error 0.72884 root_relative_squared_error 0.749175 root_relative_squared_error 0.738172 root_relative_squared_error 0.728672 root_relative_squared_error 0.748819 root_relative_squared_error 0.725554 root_relative_squared_error 0.717104 root_relative_squared_error 0.718577 root_relative_squared_error 0.744449 root_relative_squared_error 0.756854 root_relative_squared_error 0.783815 root_relative_squared_error 0.732621 root_relative_squared_error 0.777474 root_relative_squared_error 0.741299 root_relative_squared_error 0.738555 root_relative_squared_error 0.74082 root_relative_squared_error 0.73548 root_relative_squared_error 0.746279 root_relative_squared_error 0.736561 root_relative_squared_error 0.758571 root_relative_squared_error 0.705755 root_relative_squared_error 0.705345 root_relative_squared_error 0.707116 root_relative_squared_error 0.733577 root_relative_squared_error 0.731803 root_relative_squared_error 0.789156 root_relative_squared_error 0.711809 root_relative_squared_error 0.733022 root_relative_squared_error 0.720705 root_relative_squared_error 0.715457 root_relative_squared_error 0.718829 root_relative_squared_error 0.721517 root_relative_squared_error 0.727773 root_relative_squared_error 0.710911 root_relative_squared_error 0.761517 root_relative_squared_error 0.73173 root_relative_squared_error 0.707948 root_relative_squared_error 0.737671 root_relative_squared_error 0.754809 root_relative_squared_error 0.745318 root_relative_squared_error 0.767502 root_relative_squared_error 0.766295 root_relative_squared_error 0.735887 root_relative_squared_error 0.743916 root_relative_squared_error 0.711025 root_relative_squared_error 0.753923 root_relative_squared_error 0.723408 root_relative_squared_error 0.747498 root_relative_squared_error 0.711363 root_relative_squared_error 0.720435 root_relative_squared_error 0.731846 root_relative_squared_error 0.687465 root_relative_squared_error 0.722715 root_relative_squared_error 0.738694 root_relative_squared_error 0.742522 root_relative_squared_error 0.757183 root_relative_squared_error 0.807374 root_relative_squared_error 0.720048 root_relative_squared_error 0.737309 root_relative_squared_error 0.777966 root_relative_squared_error 0.701726 root_relative_squared_error 0.758578 root_relative_squared_error 0.74432 root_relative_squared_error 0.746208 root_relative_squared_error 0.726759 root_relative_squared_error 0.712818 root_relative_squared_error 0.74172 root_relative_squared_error 0.746786 root_relative_squared_error 0.754624 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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